Effect of Glaucoma

on NAVIGATION

in virtual reality

Andac S.1, Stolle F.H.1, Bernard M.2, Thieme H.1, Al-Nosairy K.O.1, Wolbers T.2,3, Hoffmann M.B.1,3

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 955590.

1Ophthalmic Department, Otto-von-Guericke University Magdeburg, Germany

2Aging, Cognition and Technology Lab, German Center for Neurodegenerative Diseases

3Center for Behavioral Brain Sciences Magdeburg, Germany

  • Navigation -- Path Integration [PI] Paradigm
  • PI Performance
  • Visual Impairments [VI]
  • Relationship between PI and VI

Outline

PI: INTRODUCTION

How good are glaucoma patients during navigation in VR?

Hoste A.M., 2003

Collett, T. S., & Graham, P. (2004)

PI: methods

VR Outcome Measures

  • Travel Time
  • Pointing Time
  • Error distance                                                  

1

2

3

0

GROUP : ~ 8 s **

DAYLIGHT : ~ 1s *

DAYLIGHT: ~ 0.5 vm **

GROUP: ~ 5 s *

DAYLIGHT:  ~ 3.5s **

PI: results

* : p < 0.05    ** : p < 0.01

GROUP : ~ 8 s **

DAYLIGHT : ~ 1s *

DAYLIGHT: ~ 0.5 vm **

GROUP: ~ 5 s *

DAYLIGHT:  ~ 3.5s **

PI: results

* : p < 0.05    ** : p < 0.01

What is the effect of visual impairment on navigation performance?

VI: MEASUREMENTS

BCVA[logMAR]

VF (MD)

pRFNL

RELATIONSHIP: VI and VR OuTCOMES

VF ⇔ Time Measures

VA ⇔ Distance Measure

  • Insecurity in glaucoma patients makes them slower
    • Visual Field deficits
  • Accuracy improvement in the environment with daylight
    • Trade-off between time and accuracy
    • Visual acuity affects distance judgement

CONCLUSION

ACKNOWLEDGEMENT

THANKS!

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 955590.

DZNE

WolbersLab

OVGU

Visual Processing Lab

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